MLJAR Studio Files

Python package for AutoML on Tabular Data with Feature Engineering

This is an exact mirror of the MLJAR Studio project, hosted at https://github.com/mljar/mljar-supervised. SourceForge is not affiliated with MLJAR Studio.

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Name	Modified	Size	InfoDownloads / Week
Parent folder
README.md	2026-03-26	617 Bytes	0
v1.2.2 source code.tar.gz	2026-03-26	2.9 MB	0
v1.2.2 source code.zip	2026-03-26	3.0 MB	1
Totals: 3 Items		5.8 MB	1

MLJAR Supervised 1.2.2

Simplified report_structured() default output to compact summary (leaderboard + global feature importance).
Added on-demand detailed report for a selected model via report_structured(model_name=...).
Improved selected-model markdown layout: clear section order, cleaner headings, filtered noisy hyperparameters, richer fairness details and fairness explanation text.
Included fairness columns in summary leaderboard when fairness is enabled.
Fixed global feature-importance aggregation metadata (models_present) and updated examples/tests for the new report workflow.

Source: README.md, updated 2026-03-26

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MLJAR Studio Files

Python package for AutoML on Tabular Data with Feature Engineering

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MLJAR Supervised 1.2.2